A multihead LSTM technique for prognostic prediction of soil moisture

P Datta, SA Faroughi - Geoderma, 2023 - Elsevier
Prognostic prediction of soil moisture is a critical step in various fields such as geotechnical
engineering, agriculture, geology, hydrology, and climatology. For example, in agricultural …

Socio-inspired evolutionary algorithms: a unified framework and survey

L Sharma, VL Chellapilla, P Chellapilla - Soft Computing, 2023 - Springer
It is well recognized that human societies and their problem-solving capabilities have
evolved much faster than biological evolution. The inspiration from human behaviors …

基于RF-BiLSTM 神经网络的多时次土壤水分动态预测

李伟, 匡昌武, 胡欣欣 - 湖北农业科学, 2023 - hbnykx.cn
为探究土壤水分变化特征, 提高土壤水分的预测准确率, 提出基于随机森林与双向长短期记忆
神经网络结合的土壤水分预测方法(RF-BiLSTM), 采用三亚国家气候观象台2016—2021 年10 …

[PDF][PDF] Exploring Long Short Term Memory Algorithms for Low Energy Data Aggregation

GH Oh - 2024 - anapub.co.ke
Long short-term memory methods are employed for data consolidation in intricate low-
energy devices. It has enabled accurate and efficient aggregation of statistics in limited …

Ann-Based Real-Time Prediction of Heat and Mass Transfer in the Paper-Based Storage Enclosure for Sustainable Preventive Conservation

B Han, F Wang, J Bon, L MacMillian… - Ann-Based Real-Time … - papers.ssrn.com
The storage enclosures are vital for stabilising the micro-environment within, facilitating
preventive conservation efforts and enabling energy savings by reducing the need for …

Multi-time soil moisture dynamic prediction based on RF-BiLSTM neural network

W LI, C KUANG, X HU - HUBEI AGRICULTURAL SCIENCES, 2023 - hbnykx.cn
In order to explore the change characteristics of soil moisture and improve the prediction
accuracy of soil moisture, a soil moisture prediction method based on the combination of …